0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9458, kappa: 0.8806, kb_relative_information_score: 593.6566, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.9297, recall: 0.9456, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4638, scimark_benchmark: 1730.112, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.523, kappa: 0.2604, kb_relative_information_score: 379.3701, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5224, predictive_accuracy: 0.5241, prior_entropy: 1.5392, recall: 0.5241, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.014, scimark_benchmark: 1765.4939, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6969, kappa: 0.2584, kb_relative_information_score: 161.0546, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.692, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0451, scimark_benchmark: 1802.5661, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9042, kappa: 0.8936, kb_relative_information_score: 5044.4696, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 3.3218, recall: 0.9043, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 1669.1364, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.861, kappa: 0.8298, kb_relative_information_score: 5348.025, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8601, predictive_accuracy: 0.8622, prior_entropy: 2.4836, recall: 0.8622, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.5572, scimark_benchmark: 1685.3264, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 432.7831, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6802, scimark_benchmark: 1854.2706, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 1820.7646, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 1406.8582, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.6092, kappa: 0.5025, kb_relative_information_score: 386.0476, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6259, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8494, scimark_benchmark: 1796.1905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 1679.8744, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.561, kappa: 0.5117, kb_relative_information_score: 15812.2703, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.5632, predictive_accuracy: 0.5647, prior_entropy: 3.5053, recall: 0.5647, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8301, scimark_benchmark: 1729.6934, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9658, kappa: 0.962, kb_relative_information_score: 10585.2524, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 3.3208, recall: 0.9658, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.268, scimark_benchmark: 1773.0974, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9632, kappa: 0.9571, kb_relative_information_score: 2215.3913, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 2.8074, recall: 0.9632, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2802, scimark_benchmark: 1619.9098, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7019, kappa: 0.6043, kb_relative_information_score: 558.3486, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7007, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7783, scimark_benchmark: 1844.8499, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7436, kappa: 0.6154, kb_relative_information_score: 3225.9603, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7436, predictive_accuracy: 0.7436, prior_entropy: 1.5849, recall: 0.7436, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8511, scimark_benchmark: 1822.2471, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9696, kappa: 0.8412, kb_relative_information_score: 4232.2815, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9694, predictive_accuracy: 0.97, prior_entropy: 0.6391, recall: 0.97, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.533, scimark_benchmark: 1738.3565, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8781, kappa: 0.8731, kb_relative_information_score: 17633.8537, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8786, predictive_accuracy: 0.878, prior_entropy: 4.6998, recall: 0.878, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4727, scimark_benchmark: 1674.5007, usercpu_time_millis: 1120, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 1752.4813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9232, kappa: 0.918, kb_relative_information_score: 621.7875, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9269, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.3785, scimark_benchmark: 1819.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9271, kappa: 0.8472, kb_relative_information_score: 3751.0753, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9271, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5263, scimark_benchmark: 1812.0561, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538, scimark_benchmark: 1838.965, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 599.7473, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.9312, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993, scimark_benchmark: 1835.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8901, kappa: 0.8778, kb_relative_information_score: 1770.5115, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8906, predictive_accuracy: 0.89, prior_entropy: 3.3219, recall: 0.89, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4725, scimark_benchmark: 1798.0325, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6479, kappa: 0.2744, kb_relative_information_score: 109.1164, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6476, predictive_accuracy: 0.6519, prior_entropy: 0.9826, recall: 0.6519, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7502, kappa: 0.435, kb_relative_information_score: 324.753, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7647, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8567, scimark_benchmark: 1465.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.2352, kappa: 0.1474, kb_relative_information_score: 1052.9955, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2287, predictive_accuracy: 0.2475, prior_entropy: 3.6268, recall: 0.2475, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.4348, kappa: 0.3745, kb_relative_information_score: 12826.2059, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4376, predictive_accuracy: 0.4436, prior_entropy: 3.5053, recall: 0.4436, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.9212, kappa: 0.5259, kb_relative_information_score: 424.3543, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9175, predictive_accuracy: 0.9269, prior_entropy: 0.5456, recall: 0.9269, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.8171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.604, kappa: 0.498, kb_relative_information_score: 372.1393, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6191, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.8085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7253, kappa: 0.6972, kb_relative_information_score: 1446.3201, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7271, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.94, kappa: 0.8675, kb_relative_information_score: 555.4419, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9402, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.7529, kappa: 0.7261, kb_relative_information_score: 1438.7439, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7543, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.6949, kappa: 0.6822, kb_relative_information_score: 1457.9697, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7152, predictive_accuracy: 0.714, prior_entropy: 3.3219, recall: 0.714, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.7349, kappa: 0.7006, kb_relative_information_score: 1408.2985, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7485, predictive_accuracy: 0.7305, prior_entropy: 3.3219, recall: 0.7305, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8013, kappa: 0.5898, kb_relative_information_score: 900.6808, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7945, predictive_accuracy: 0.8125, prior_entropy: 1.2099, recall: 0.8125, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.6662, kappa: 0.64, kb_relative_information_score: 1357.6803, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6635, predictive_accuracy: 0.676, prior_entropy: 3.3219, recall: 0.676, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.6959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.5382, kappa: 0.2837, kb_relative_information_score: 342.8944, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5408, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9988, kb_relative_information_score: 8107.6747, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.9991, recall: 0.9994, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0224, root_relative_squared_error: 0.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9404, kappa: 0.9131, kb_relative_information_score: 11668.9766, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9403, predictive_accuracy: 0.9407, prior_entropy: 1.7176, recall: 0.9407, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8591, kappa: 0.8432, kb_relative_information_score: 4711.6749, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8595, predictive_accuracy: 0.8589, prior_entropy: 3.3218, recall: 0.8589, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8622, kappa: 0.721, kb_relative_information_score: 428.3485, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8622, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9668, kappa: 0.8244, kb_relative_information_score: 4001.2597, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9666, predictive_accuracy: 0.9677, prior_entropy: 0.6391, recall: 0.9677, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6926, kappa: 0.2456, kb_relative_information_score: 165.3441, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6876, predictive_accuracy: 0.707, prior_entropy: 0.8818, recall: 0.707, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9365, kappa: 0.9294, kb_relative_information_score: 10169.6552, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9366, predictive_accuracy: 0.9365, prior_entropy: 3.3208, recall: 0.9365, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.103, root_relative_squared_error: 0.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6479, kappa: 0.2744, kb_relative_information_score: 109.1164, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6476, predictive_accuracy: 0.6519, prior_entropy: 0.9826, recall: 0.6519, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.939, kappa: 0.9283, kb_relative_information_score: 2136.4904, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.94, predictive_accuracy: 0.9385, prior_entropy: 2.8074, recall: 0.9385, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7374, kappa: 0.4079, kb_relative_information_score: 302.1535, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7396, predictive_accuracy: 0.7474, prior_entropy: 0.9312, recall: 0.7474, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.6857, kappa: 0.5985, kb_relative_information_score: 509.9284, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6835, predictive_accuracy: 0.6986, prior_entropy: 1.9991, recall: 0.6986, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.7562, kappa: 0.6346, kb_relative_information_score: 3134.6095, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7562, predictive_accuracy: 0.7564, prior_entropy: 1.5849, recall: 0.7564, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.868, kappa: 0.7299, kb_relative_information_score: 29216.407, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9835, recall: 0.868, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.6796, kappa: 0.4599, kb_relative_information_score: 241.7447, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6546, predictive_accuracy: 0.7088, prior_entropy: 1.3212, recall: 0.7088, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8378, kappa: 0.8194, kb_relative_information_score: 1638.6239, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8395, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8487, kappa: 0.5732, kb_relative_information_score: 20429.5085, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8476, predictive_accuracy: 0.8536, prior_entropy: 0.7939, recall: 0.8536, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.7569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.5405, kappa: 0.4194, kb_relative_information_score: 618.9265, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5351, predictive_accuracy: 0.5553, prior_entropy: 2.5035, recall: 0.5553, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.243, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8483, kappa: 0.816, kb_relative_information_score: 5149.5629, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8468, predictive_accuracy: 0.8513, prior_entropy: 2.4836, recall: 0.8513, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.748, kappa: 0.591, kb_relative_information_score: 293.6329, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7195, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.858, kappa: 0.8417, kb_relative_information_score: 1697.7859, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8589, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.7464, kappa: 0.7217, kb_relative_information_score: 1496.3466, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7464, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.4319, kappa: 0.3702, kb_relative_information_score: 13009.5782, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4336, predictive_accuracy: 0.4392, prior_entropy: 3.5053, recall: 0.4392, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.9285, kappa: 0.5574, kb_relative_information_score: 499.1514, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1164, number_of_instances: 1340, precision: 0.9264, predictive_accuracy: 0.9366, prior_entropy: 0.5456, recall: 0.9366, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.2405, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.607, kappa: 0.4964, kb_relative_information_score: 370.5732, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6273, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8852, kappa: 0.7137, kb_relative_information_score: 608.91, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8813, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9781, kappa: 0.9561, kb_relative_information_score: 3031.1647, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9986, recall: 0.9781, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8336, kappa: 0.8267, kb_relative_information_score: 16918.6004, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8344, predictive_accuracy: 0.8334, prior_entropy: 4.6998, recall: 0.8334, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9529, kappa: 0.8962, kb_relative_information_score: 589.204, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9533, predictive_accuracy: 0.9528, prior_entropy: 0.9297, recall: 0.9528, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7869, kappa: 0.7644, kb_relative_information_score: 1530.2588, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7876, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.7029, kappa: 0.6983, kb_relative_information_score: 1484.3523, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7261, predictive_accuracy: 0.7285, prior_entropy: 3.3219, recall: 0.7285, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.7343, kappa: 0.7044, kb_relative_information_score: 1434.3257, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7388, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8532, kappa: 0.6902, kb_relative_information_score: 1225.0085, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8542, predictive_accuracy: 0.8553, prior_entropy: 1.2099, recall: 0.8553, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.6949, kappa: 0.6656, kb_relative_information_score: 1405.0641, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6932, predictive_accuracy: 0.699, prior_entropy: 3.3219, recall: 0.699, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.6829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.5419, kappa: 0.2894, kb_relative_information_score: 367.3131, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.541, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8454, kappa: 0.5611, kb_relative_information_score: 19641.3197, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8449, predictive_accuracy: 0.8518, prior_entropy: 0.7939, recall: 0.8518, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.5622, kappa: 0.4445, kb_relative_information_score: 640.9031, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5584, predictive_accuracy: 0.5741, prior_entropy: 2.5035, recall: 0.5741, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.921, kappa: 0.8344, kb_relative_information_score: 3590.6598, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.921, predictive_accuracy: 0.9211, prior_entropy: 0.9674, recall: 0.9211, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9267, kappa: 0.8812, kb_relative_information_score: 2705.9109, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9288, predictive_accuracy: 0.926, prior_entropy: 1.4804, recall: 0.926, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7502, kappa: 0.435, kb_relative_information_score: 324.753, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7647, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.705, kappa: 0.6109, kb_relative_information_score: 538.2174, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7038, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7647, kappa: 0.6472, kb_relative_information_score: 3243.8929, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7648, predictive_accuracy: 0.7648, prior_entropy: 1.5849, recall: 0.7648, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8815, kappa: 0.7574, kb_relative_information_score: 30985.7102, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8815, predictive_accuracy: 0.8816, prior_entropy: 0.9835, recall: 0.8816, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2494, f_measure: 0.993, kb_relative_information_score: 45.5083, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9953, prior_entropy: 0.0626, recall: 0.9953, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0558, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8784, kappa: 0.8652, kb_relative_information_score: 4851.4876, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8785, predictive_accuracy: 0.8786, prior_entropy: 3.3218, recall: 0.8786, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8602, kappa: 0.8304, kb_relative_information_score: 5228.8485, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8589, predictive_accuracy: 0.863, prior_entropy: 2.4836, recall: 0.863, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.2293, kappa: 0.142, kb_relative_information_score: 1036.7767, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2213, predictive_accuracy: 0.2418, prior_entropy: 3.6268, recall: 0.2418, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9487, kappa: 0.9274, kb_relative_information_score: 11919.9563, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9513, predictive_accuracy: 0.9507, prior_entropy: 1.7176, recall: 0.9507, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8621, kappa: 0.7168, kb_relative_information_score: 1191.595, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8604, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6154,